Samsung Electronics Perú
Engineer II, Machine Learning Software
Samsung Electronics Perú, Mountain View, California, us, 94039
Engineer II, Machine Learning Software page is loaded## Engineer II, Machine Learning Softwareremote type:
On-sitelocations:
645 Clyde Avenue, Mountain View, CA, USAposted on:
Posted Todaytime left to apply:
End Date: January 7, 2026 (30+ days left to apply)job requisition id:
R111147**Position Summary**Act as data scientist of the Samsung Ads Platform Intelligence (PI) team to leverage unique data to build and deploy impactful machine learning solutions.**Role and Responsibilities****Job Description**:Act as data scientist of the Samsung Ads Platform Intelligence (PI) team to leverage unique data to build and deploy impactful machine learning solutions. Focus on applying advanced ML techniques to address key product challenges, identify new revenue opportunities, and optimize performance across the Samsung Ads platform. Responsible for the full ML lifecycle – from problem definition and data exploration to model development, deployment, and monitoring – working closely with a talented team of engineers and researchers. Develop & Deploy ML Models including designing, building, and productionizing machine learning models to solve complex problems in areas like ad targeting and performance prediction. Data-Driven Optimization including utilizing statistical analysis, experimentation (A/B testing), and machine learning to optimize platform performance and drive business growth. ML Product Improvement including collaborating closely with the ML engineers to define, refine, and improve existing machine learning products and features. Take ownership of data science projects from inception to production, ensuring scalability and reliability. Data Exploration & Feature Engineering including extracting, cleaning, and transforming unique datasets to create impactful features for machine learning models. Effectively communicate complex technical findings and insights to both technical and non-technical audiences, including leadership, product owners, and engineering teams. Contribute directly to the success of a leading advertising platform.**Minimum Education & Experience Requirements:**Master’s degree in Computer Science, Mathematics, Operations Research, a related field, or a foreign equivalent plus 2 years of post-baccalaureate experience in job offered or any engineering/data scientist related job titles.Applicants must have at least 2 years of experience in the following: (1) Data Wrangling & Integration including identifying, accessing, and integrating diverse data sources, including addressing data limitations and extending data applicability; (2) statistical theories and methodologies, including hypothesis testing, regression analysis, Bayesian methods, causal inference, time series analysis, and experimental design (A/B testing); (3) Data Modeling including transforming raw data into features and feature engineering techniques, including variable transformation, bucketization, and creation of calculated variables; (4) Machine Learning model developing from feature engineering to production deployment; (5) Machine Learning algorithms (DNNs, RNNs, LSTMs, Gradient Boosting, XGBoost, SVMs, VAR, NNAR, and Logistic Regression); (6) model validation, including bias detection and error analysis; (7) Big Data Technologies including experience with Spark and AWS data processing services; (8) Python or Go; and (9) data manipulation libraries (Pandas, NumPy, Scikit-learn).**Skills and Qualifications**The salary range for this role is expected to be between $200,000 – $210,000/Year. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.***No sponsorship available for this position.***\* Please visit
to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click .At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.\* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and
provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.**Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process**Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA\_Accommodations\_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries. #J-18808-Ljbffr
On-sitelocations:
645 Clyde Avenue, Mountain View, CA, USAposted on:
Posted Todaytime left to apply:
End Date: January 7, 2026 (30+ days left to apply)job requisition id:
R111147**Position Summary**Act as data scientist of the Samsung Ads Platform Intelligence (PI) team to leverage unique data to build and deploy impactful machine learning solutions.**Role and Responsibilities****Job Description**:Act as data scientist of the Samsung Ads Platform Intelligence (PI) team to leverage unique data to build and deploy impactful machine learning solutions. Focus on applying advanced ML techniques to address key product challenges, identify new revenue opportunities, and optimize performance across the Samsung Ads platform. Responsible for the full ML lifecycle – from problem definition and data exploration to model development, deployment, and monitoring – working closely with a talented team of engineers and researchers. Develop & Deploy ML Models including designing, building, and productionizing machine learning models to solve complex problems in areas like ad targeting and performance prediction. Data-Driven Optimization including utilizing statistical analysis, experimentation (A/B testing), and machine learning to optimize platform performance and drive business growth. ML Product Improvement including collaborating closely with the ML engineers to define, refine, and improve existing machine learning products and features. Take ownership of data science projects from inception to production, ensuring scalability and reliability. Data Exploration & Feature Engineering including extracting, cleaning, and transforming unique datasets to create impactful features for machine learning models. Effectively communicate complex technical findings and insights to both technical and non-technical audiences, including leadership, product owners, and engineering teams. Contribute directly to the success of a leading advertising platform.**Minimum Education & Experience Requirements:**Master’s degree in Computer Science, Mathematics, Operations Research, a related field, or a foreign equivalent plus 2 years of post-baccalaureate experience in job offered or any engineering/data scientist related job titles.Applicants must have at least 2 years of experience in the following: (1) Data Wrangling & Integration including identifying, accessing, and integrating diverse data sources, including addressing data limitations and extending data applicability; (2) statistical theories and methodologies, including hypothesis testing, regression analysis, Bayesian methods, causal inference, time series analysis, and experimental design (A/B testing); (3) Data Modeling including transforming raw data into features and feature engineering techniques, including variable transformation, bucketization, and creation of calculated variables; (4) Machine Learning model developing from feature engineering to production deployment; (5) Machine Learning algorithms (DNNs, RNNs, LSTMs, Gradient Boosting, XGBoost, SVMs, VAR, NNAR, and Logistic Regression); (6) model validation, including bias detection and error analysis; (7) Big Data Technologies including experience with Spark and AWS data processing services; (8) Python or Go; and (9) data manipulation libraries (Pandas, NumPy, Scikit-learn).**Skills and Qualifications**The salary range for this role is expected to be between $200,000 – $210,000/Year. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.***No sponsorship available for this position.***\* Please visit
to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click .At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.\* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and
provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.**Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process**Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA\_Accommodations\_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries. #J-18808-Ljbffr